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Objects, Models, Components, Patterns

Overview of attention for book
Cover of 'Objects, Models, Components, Patterns'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Integrating Efficient Model Queries in State-of-the-Art EMF Tools
  3. Altmetric Badge
    Chapter 2 Poporo: A Formal Methods Tool for Fast-Checking of Social Network Privacy Policies
  4. Altmetric Badge
    Chapter 3 DroidSense: A Mobile Tool to Analyze Software Development Processes by Measuring Team Proximity
  5. Altmetric Badge
    Chapter 4 TimeSquare: Treat Your Models with Logical Time
  6. Altmetric Badge
    Chapter 5 Quality Evaluation of Object-Oriented and Standard Mutation Operators Applied to C# Programs
  7. Altmetric Badge
    Chapter 6 101companies: A Community Project on Software Technologies and Software Languages
  8. Altmetric Badge
    Chapter 7 An Object-Oriented Application Framework for the Development of Real-Time Systems
  9. Altmetric Badge
    Chapter 8 Measuring Test Case Similarity to Support Test Suite Understanding
  10. Altmetric Badge
    Chapter 9 Enhancing OSGi with Explicit, Vendor Independent Extra-Functional Properties
  11. Altmetric Badge
    Chapter 10 Efficient Method Lookup Customization for Smalltalk
  12. Altmetric Badge
    Chapter 11 Fake Run-Time Selection of Template Arguments in C++
  13. Altmetric Badge
    Chapter 12 Supporting Compile-Time Debugging and Precise Error Reporting in Meta-programs
  14. Altmetric Badge
    Chapter 13 Identifying a Unifying Mechanism for the Implementation of Concurrency Abstractions on Multi-language Virtual Machines
  15. Altmetric Badge
    Chapter 14 Verification of Snapshotable Trees Using Access Permissions and Typestate
  16. Altmetric Badge
    Chapter 15 Multiparty Session C: Safe Parallel Programming with Message Optimisation
  17. Altmetric Badge
    Chapter 16 Non-interference on UML State-Charts
  18. Altmetric Badge
    Chapter 17 Representing Uniqueness Constraints in Object-Relational Mapping
  19. Altmetric Badge
    Chapter 18 Detection of Seed Methods for Quantification of Feature Confinement
  20. Altmetric Badge
    Chapter 19 Assisted Behavior Driven Development Using Natural Language Processing
  21. Altmetric Badge
    Chapter 20 Learning to Classify Bug Reports into Components
  22. Altmetric Badge
    Chapter 21 Objects, Models, Components, Patterns
  23. Altmetric Badge
    Chapter 22 Elucidative Development for Model-Based Documentation
  24. Altmetric Badge
    Chapter 23 Objects, Models, Components, Patterns
  25. Altmetric Badge
    Chapter 24 Turbo DiSL: Partial Evaluation for High-Level Bytecode Instrumentation
Attention for Chapter 19: Assisted Behavior Driven Development Using Natural Language Processing
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

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1 Dimensions

Readers on

mendeley
80 Mendeley
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Chapter title
Assisted Behavior Driven Development Using Natural Language Processing
Chapter number 19
Book title
Objects, Models, Components, Patterns
Published in
Lecture notes in computer science, May 2012
DOI 10.1007/978-3-642-30561-0_19
Book ISBNs
978-3-64-230560-3, 978-3-64-230561-0
Authors

Mathias Soeken, Robert Wille, Rolf Drechsler

Editors

Carlo A. Furia, Sebastian Nanz

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Portugal 1 1%
Netherlands 1 1%
Unknown 76 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 23%
Student > Ph. D. Student 16 20%
Student > Bachelor 15 19%
Researcher 7 9%
Student > Doctoral Student 4 5%
Other 8 10%
Unknown 12 15%
Readers by discipline Count As %
Computer Science 54 68%
Engineering 7 9%
Business, Management and Accounting 3 4%
Social Sciences 2 3%
Psychology 1 1%
Other 0 0%
Unknown 13 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 February 2017.
All research outputs
#7,518,189
of 22,953,506 outputs
Outputs from Lecture notes in computer science
#2,491
of 8,133 outputs
Outputs of similar age
#55,031
of 165,667 outputs
Outputs of similar age from Lecture notes in computer science
#21
of 61 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,133 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 165,667 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.